Automatic method for the dermatological diagnosis of selected hand skin features in hyperspectral imaging

BioMedical Engineering OnLine

Robert Koprowski¹  Sławomir Wilczyński²  Zygmunt Wróbel¹  Sławomir Kasperczyk³  Barbara Błońska-Fajfrowska² 

[1] Department of Biomedical Computer Systems, University of Silesia, Faculty of Computer Science and Materials Science, Institute of Computer Science, ul. Będzińska 39, Sosnowiec 41-200, Poland

[2] Department of Basic Biomedical Science, School of Pharmacy, Medical University of Silesia in Katowice, ul. Kasztanowa 3, Sosnowiec 41-200, Poland

[3] Department of Biochemistry, School of Medicine with the Division of Dentistry, Medical University of Silesia in Katowice, ul. Jordana 19, 41-808 Zabrze, Poland

关键词: Segmentation;    Measurement automation;    Image processing;    Hyperspectral imaging;   

Others  :  794882
DOI  :  10.1186/1475-925X-13-47

 received in 2014-03-12, accepted in 2014-04-10,  发布年份 2014

【 摘 要 】

Introduction

Hyperspectral imaging has been used in dermatology for many years. The enrichment of hyperspectral imaging with image analysis broadens considerably the possibility of reproducible, quantitative evaluation of, for example, melanin and haemoglobin at any location in the patient's skin. The dedicated image analysis method proposed by the authors enables to automatically perform this type of measurement.

Material and method

As part of the study, an algorithm for the analysis of hyperspectral images of healthy human skin acquired with the use of the Specim camera was proposed. Images were collected from the dorsal side of the hand. The frequency λ of the data obtained ranged from 397 to 1030 nm. A total of 4'000 2D images were obtained for 5 hyperspectral images. The method proposed in the paper uses dedicated image analysis based on human anthropometric data, mathematical morphology, median filtration, normalization and others. The algorithm was implemented in Matlab and C programs and is used in practice.

Results

The algorithm of image analysis and processing proposed by the authors enables segmentation of any region of the hand (fingers, wrist) in a reproducible manner. In addition, the method allows to quantify the frequency content in different regions of interest which are determined automatically. Owing to this, it is possible to perform analyses for melanin in the frequency range λ_E∈(450,600) nm and for haemoglobin in the range λ_H∈(397,500) nm extending into the ultraviolet for the type of camera used. In these ranges, there are 189 images for melanin and 126 images for haemoglobin. For six areas of the left and right sides of the little finger (digitus minimus manus), the mean values of melanin and haemoglobin content were 17% and 15% respectively compared to the pattern.

Conclusions

The obtained results confirmed the usefulness of the proposed new method of image analysis and processing in dermatology of the hand as it enables reproducible, quantitative assessment of any fragment of this body part. Each image in a sequence was analysed in this way in no more than 100 ms using Intel Core i5 CPU M460 @2.5 GHz 4 GB RAM.

【 授权许可】

   
2014 Koprowski et al.; licensee BioMed Central Ltd.

【 图 表 】

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